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    A secure mathematical computation sandbox that enables LLMs to perform symbolic math operations like algebra, calculus, and equation solving via SymPy. It features low-latency execution through pre-warmed process pools and provides standardized JSON outputs for reliable agent integration.
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    MIT
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    Enables deterministic verification for AI assistants by executing Python code that uses symbolic engines like SymPy and Z3 for math, logic, and code analysis.
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    Apache 2.0
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    A FastMCP server for mathematical computations, including numerical and symbolic calculations with NumPy and SymPy integration, as well as data visualization through Matplotlib.
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    MIT
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    Provides a suite of deterministic math tools powered by SymPy to handle algebra, calculus, linear algebra, and statistics via the Model Context Protocol. It enables smaller language models to delegate complex computations to a verified symbolic backend for accurate and reliable results.
    Apache 2.0